Menu
×
   ❮     
HTML CSS JAVASCRIPT SQL PYTHON JAVA PHP HOW TO W3.CSS C C++ C# BOOTSTRAP REACT MYSQL JQUERY EXCEL XML DJANGO NUMPY PANDAS NODEJS R TYPESCRIPT ANGULAR GIT POSTGRESQL MONGODB ASP AI GO KOTLIN SASS VUE DSA GEN AI SCIPY AWS CYBERSECURITY DATA SCIENCE
     ❯   

Python Tutorial

Python HOME Python Intro Python Get Started Python Syntax Python Comments Python Variables Python Data Types Python Numbers Python Casting Python Strings Python Booleans Python Operators Python Lists Python Tuples Python Sets Python Dictionaries Python If...Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Polymorphism Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try...Except Python User Input Python String Formatting

File Handling

Python File Handling Python Read Files Python Write/Create Files Python Delete Files

Python Modules

NumPy Tutorial Pandas Tutorial SciPy Tutorial Django Tutorial

Python Matplotlib

Matplotlib Intro Matplotlib Get Started Matplotlib Pyplot Matplotlib Plotting Matplotlib Markers Matplotlib Line Matplotlib Labels Matplotlib Grid Matplotlib Subplot Matplotlib Scatter Matplotlib Bars Matplotlib Histograms Matplotlib Pie Charts

Machine Learning

Getting Started Mean Median Mode Standard Deviation Percentile Data Distribution Normal Data Distribution Scatter Plot Linear Regression Polynomial Regression Multiple Regression Scale Train/Test Decision Tree Confusion Matrix Hierarchical Clustering Logistic Regression Grid Search Categorical Data K-means Bootstrap Aggregation Cross Validation AUC - ROC Curve K-nearest neighbors

Python MySQL

MySQL Get Started MySQL Create Database MySQL Create Table MySQL Insert MySQL Select MySQL Where MySQL Order By MySQL Delete MySQL Drop Table MySQL Update MySQL Limit MySQL Join

Python MongoDB

MongoDB Get Started MongoDB Create DB MongoDB Collection MongoDB Insert MongoDB Find MongoDB Query MongoDB Sort MongoDB Delete MongoDB Drop Collection MongoDB Update MongoDB Limit

Python Reference

Python Overview Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods Python File Methods Python Keywords Python Exceptions Python Glossary

Module Reference

Random Module Requests Module Statistics Module Math Module cMath Module

Python How To

Remove List Duplicates Reverse a String Add Two Numbers

Python Examples

Python Examples Python Compiler Python Exercises Python Quiz Python Server Python Syllabus Python Study Plan Python Interview Q&A Python Bootcamp Python Certificate

Python - Join Sets


Join Sets

There are several ways to join two or more sets in Python.

The union() and update() methods joins all items from both sets.

The intersection() method keeps ONLY the duplicates.

The difference() method keeps the items from the first set that are not in the other set(s).

The symmetric_difference() method keeps all items EXCEPT the duplicates.


Union

The union() method returns a new set with all items from both sets.

Example

Join set1 and set2 into a new set:

set1 = {"a", "b", "c"}
set2 = {1, 2, 3}

set3 = set1.union(set2)
print(set3)
Try it Yourself »

You can use the | operator instead of the union() method, and you will get the same result.

Example

Use | to join two sets:

set1 = {"a", "b", "c"}
set2 = {1, 2, 3}

set3 = set1 | set2
print(set3)
Try it Yourself »

Join Multiple Sets

All the joining methods and operators can be used to join multiple sets.

When using a method, just add more sets in the parentheses, separated by commas:

Example

Join multiple sets with the union() method:

set1 = {"a", "b", "c"}
set2 = {1, 2, 3}
set3 = {"John", "Elena"}
set4 = {"apple", "bananas", "cherry"}

myset = set1.union(set2, set3, set4)
print(myset)
Try it Yourself »

When using the | operator, separate the sets with more | operators:

Example

Use | to join two sets:

set1 = {"a", "b", "c"}
set2 = {1, 2, 3}
set3 = {"John", "Elena"}
set4 = {"apple", "bananas", "cherry"}

myset = set1 | set2 | set3 |set4
print(myset)
Try it Yourself »

Join a Set and a Tuple

The union() method allows you to join a set with other data types, like lists or tuples.

The result will be a set.

Example

Join a set with a tuple:

x = {"a", "b", "c"}
y = (1, 2, 3)

z = x.union(y)
print(z)
Try it Yourself »

Note: The  | operator only allows you to join sets with sets, and not with other data types like you can with the  union() method.


Update

The update() method inserts all items from one set into another.

The update() changes the original set, and does not return a new set.

Example

The update() method inserts the items in set2 into set1:

set1 = {"a", "b" , "c"}
set2 = {1, 2, 3}

set1.update(set2)
print(set1)
Try it Yourself »

Note: Both union() and update() will exclude any duplicate items.



Intersection

Keep ONLY the duplicates

The intersection() method will return a new set, that only contains the items that are present in both sets.

Example

Join set1 and set2, but keep only the duplicates:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set3 = set1.intersection(set2)
print(set3)
Try it Yourself »

You can use the & operator instead of the intersection() method, and you will get the same result.

Example

Use & to join two sets:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set3 = set1 & set2
print(set3)
Try it Yourself »

Note: The & operator only allows you to join sets with sets, and not with other data types like you can with the intersection() method.

The intersection_update() method will also keep ONLY the duplicates, but it will change the original set instead of returning a new set.

Example

Keep the items that exist in both set1, and set2:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set1.intersection_update(set2)

print(set1)
Try it Yourself »

The values True and 1 are considered the same value. The same goes for False and 0.

Example

Join sets that contains the values True, False, 1, and 0, and see what is considered as duplicates:

set1 = {"apple", 1,  "banana", 0, "cherry"}
set2 = {False, "google", 1, "apple", 2, True}

set3 = set1.intersection(set2)

print(set3)
Try it Yourself »

Difference

The difference() method will return a new set that will contain only the items from the first set that are not present in the other set.

Example

Keep all items from set1 that are not in set2:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set3 = set1.difference(set2)

print(set3)
Try it Yourself »

You can use the - operator instead of the difference() method, and you will get the same result.

Example

Use - to join two sets:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set3 = set1 - set2
print(set3)
Try it Yourself »

Note: The - operator only allows you to join sets with sets, and not with other data types like you can with the difference() method.

The difference_update() method will also keep the items from the first set that are not in the other set, but it will change the original set instead of returning a new set.

Example

Use the difference_update() method to keep the items that are not present in both sets:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set1.difference_update(set2)

print(set1)
Try it Yourself »

Symmetric Differences

The symmetric_difference() method will keep only the elements that are NOT present in both sets.

Example

Keep the items that are not present in both sets:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set3 = set1.symmetric_difference(set2)

print(set3)
Try it Yourself »

You can use the ^ operator instead of the symmetric_difference() method, and you will get the same result.

Example

Use ^ to join two sets:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set3 = set1 ^ set2
print(set3)
Try it Yourself »

Note: The ^ operator only allows you to join sets with sets, and not with other data types like you can with the symmetric_difference() method.

The symmetric_difference_update() method will also keep all but the duplicates, but it will change the original set instead of returning a new set.

Example

Use the symmetric_difference_update() method to keep the items that are not present in both sets:

set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}

set1.symmetric_difference_update(set2)

print(set1)
Try it Yourself »


×

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail:
sales@w3schools.com

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail:
help@w3schools.com

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content. While using W3Schools, you agree to have read and accepted our terms of use, cookie and privacy policy.

Copyright 1999-2024 by Refsnes Data. All Rights Reserved. W3Schools is Powered by W3.CSS.